%0 Journal Article
%T DEM Data Quality Detecting Based on Spatial Index<br>基于空间索引的DEM数据质量检查
%A CHEN Xiao-hong
%A PAN Mao
%A WU Huan-ping
%A YANG Jun-hui
%A ZHU Lei
%A <br>陈小红
%A 潘懋
%A 吴焕萍
%A 杨峻辉
%A 朱雷
%J 计算机应用研究
%D 2005
%I 
%X To obtain data for generating Digital Elevation Model (DEM), one of the most important methods is to digitize physiognomic information such as contours on maps and get scattered points and contours which computer can recognize. This method requires high quality scattered points and contours. In this paper, two spatial index methods, GRID and R-tree, are introduced to detect the duplication of scattered points and the intersection of contours. The experiment shows that these two index methods greatly improve the efficiency of spatial data quality detecting.
%K Spatial Data Quality
%K Scattered Points
%K Contour
%K DEM
%K Spatial Index<br>空间数据质量
%K 离散点
%K 等高线
%K DEM
%K 空间索引
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DBE41AE03E18F517&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=9CF7A0430CBB2DFD&sid=D3E34374A0D77D7F&eid=340AC2BF8E7AB4FD&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9